Investigating Data Usage for Inductive Conformal Predictors
Studies how data allocation and calibration choices affect inductive conformal predictors. For applied scientist review, this paper is most relevant as evidence of uncertainty-quantification depth, calibration thinking, and reliability-oriented evaluation.